Answer:
The degrees of freedom associated with the critical value is 25.
Step-by-step explanation:
The number of values in the final calculation of a statistic that are free to vary is referred to as the degrees of freedom. That is, it is the number of independent ways by which a dynamic system can move, without disrupting any constraint imposed on it.
The degrees of freedom for the t-distribution is obtained by substituting the values of n1 and n2 in the degrees of freedom formula.
Degrees of freedom, df = n1+n2−2
= 15+12−2=27−2=25
Therefore, the degrees of freedom associated with the critical value is 25.
Step-by-step explanation:
a) f(4) = 7-2(4)
= -1
b) f(h) = 7-2(h)
= 7-2h
c) f(4) + f(h) = -1 +(7-2h)
= 6-2h
h = 3
d) f(3+h) = 7-2(3+h)
= 7-6-2h
= -1-2h
2h= -1
h = -1/2
p/s = if the real answer is different with my answer, tell me also please. Im just a student that still learning.
The best linear model for the data that's illustrated will be y = 10x + 5
<h3>What is a linear model?</h3>
It should be noted that a linear model simply means model where the terms are added. It should be noted that this can be used in connection with the regression model.
Here, the best linear model for the data will be:
= (10 × x) + 5
= 10x + 5
Therefore, the best linear model for the data that's illustrated will be y = 10x + 5.
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The best, closest quotient would be 87.
Answer:
Step-by-step 
explanation:
